The Process Data Driven Workflow Modeling Approach and its' Implementation on Medical Infection Control Process. - Zhengxing Huang; Xudong Lu; Huilong Duan; Dengfeng Yin (BMEI (2), 2008)

Radiology information system: a workflow-based approach. - Jinyan Zhang; Xudong Lu; Hongchao Nie; Zhengxing Huang; Wil M. P. van der Aalst (Int. J. Comput. Assist. Radiol. Surg., 2009)

Thermal Characterization of Si3N4 Thin Films Using Transient Thermoreflectance Technique. - Suyuan Bai; Zhenan Tang; Zhengxing Huang; Jun Yu 003 (IEEE Trans. Ind. Electron., 2009)

An adaptive work distribution mechanism based on reinforcement learning. - Zhengxing Huang; Wil M. P. van der Aalst; Xudong Lu; Huilong Duan (Expert Syst. Appl., 2010)

Variation Prediction in Clinical Processes. - Zhengxing Huang; Xudong Lu; Chenxi Gan; Huilong Duan (AIME, 2011)

Constructing clinical pathway ontology to incorporate patient state, intervention and time. - Wu Fan; Xudong Lu; Zhengxing Huang; Weifei Yu; Huilong Duan (BMEI, 2011)

A RFID-based tracking system of endoscopes. - Shicai Xu; Huilong Duan; Xudong Lu; Zhengxing Huang; Chenjiao Wu; Ying Fang (BMEI, 2011)

Context-aware recommendation using rough set model and collaborative filtering. - Zhengxing Huang; Xudong Lu; Huilong Duan (Artif. Intell. Rev., 2011)

Reinforcement learning based resource allocation in business process management. - Zhengxing Huang; Wil M. P. van der Aalst; Xudong Lu; Huilong Duan (Data Knowl. Eng., 2011)

Mining association rules to support resource allocation in business process management. - Zhengxing Huang; Xudong Lu; Huilong Duan (Expert Syst. Appl., 2011)

Anomaly detection in clinical processes. - Zhengxing Huang; Xudong Lu; Huilong Duan (AMIA, 2012)

On mining clinical pathway patterns from medical behaviors. - Zhengxing Huang; Xudong Lu; Huilong Duan (Artif. Intell. Medicine, 2012)

Collaboration-based medical knowledge recommendation. - Zhengxing Huang; Xudong Lu; Huilong Duan; Chenhui Zhao (Artif. Intell. Medicine, 2012)

Supporting adaptive clinical treatment processes through recommendations. - Xudong Lu; Zhengxing Huang; Huilong Duan (Comput. Methods Programs Biomed., 2012)

Resource behavior measure and application in business process management. - Zhengxing Huang; Xudong Lu; Huilong Duan (Expert Syst. Appl., 2012)

Using Recommendation to Support Adaptive Clinical Pathways. - Zhengxing Huang; Xudong Lu; Huilong Duan (J. Medical Syst., 2012)

A Task Operation Model for Resource Allocation Optimization in Business Process Management. - Zhengxing Huang; Xudong Lu; Huilong Duan (IEEE Trans. Syst. Man Cybern. Part A, 2012)

Similarity Measuring between Patient Traces for Clinical Pathway Analysis. - Zhengxing Huang; Xudong Lu; Huilong Duan (AIME, 2013)

Regularization selection method for LMS-type sparse multipath channel estimation. - Zhengxing Huang; Guan Gui 001; An-min Huang; Dong Xiang; Fumiyuki Adachi (APCC, 2013)

Mining the Changes of Medical Behaviors for Clinical Pathways. - Zhengxing Huang; Chenxi Gan; Xudong Lu; Huilong Duan (MedInfo, 2013)

Length of stay prediction for clinical treatment process using temporal similarity. - Zhengxing Huang; Jose M. Juarez; Huilong Duan; Haomin Li 001 (Expert Syst. Appl., 2013)

Summarizing clinical pathways from event logs. - Zhengxing Huang; Xudong Lu; Huilong Duan; Wu Fan (J. Biomed. Informatics, 2013)

Latent Treatment Pattern Discovery for Clinical Processes. - Zhengxing Huang; Xudong Lu; Huilong Duan (J. Medical Syst., 2013)

An ontology-based real-time monitoring approach to clinical pathway. - Junjian Liu; Zhengxing Huang; Xudong Lu; Huilong Duan (BMEI, 2014)

Reprint of "Length of stay prediction for clinical treatment process using temporal similarity". - Zhengxing Huang; Jose M. Juarez; Huilong Duan; Haomin Li 001 (Expert Syst. Appl., 2014)

Discovery of clinical pathway patterns from event logs using probabilistic topic models. - Zhengxing Huang; Wei Dong 005; Lei Ji 005; Chenxi Gan; Xudong Lu; Huilong Duan (J. Biomed. Informatics, 2014)

Online Treatment Compliance Checking for Clinical Pathways. - Zhengxing Huang; Yurong Bao; Wei Dong 005; Xudong Lu; Huilong Duan (J. Medical Syst., 2014)

A genetic fuzzy system for unstable angina risk assessment. - Wei Dong 005; Zhengxing Huang; Lei Ji 005; Huilong Duan (BMC Medical Informatics Decis. Mak., 2014)

Similarity Measure Between Patient Traces for Clinical Pathway Analysis: Problem, Method, and Applications. - Zhengxing Huang; Wei Dong 005; Huilong Duan; Haomin Li 001 (IEEE J. Biomed. Health Informatics, 2014)

Predictive Monitoring of Local Anomalies in Clinical Treatment Processes. - Zhengxing Huang; Jose M. Juarez; Wei Dong 005; Lei Ji 005; Huilong Duan (AIME, 2015)

Medical Inpatient Journey Modeling and Clustering: A Bayesian Hidden Markov Model Based Approach. - Zhengxing Huang; Wei Dong 005; Fei Wang 001; Huilong Duan (AMIA, 2015)

On local anomaly detection and analysis for clinical pathways. - Zhengxing Huang; Wei Dong 005; Lei Ji 005; Liangying Yin; Huilong Duan (Artif. Intell. Medicine, 2015)

On mining latent treatment patterns from electronic medical records. - Zhengxing Huang; Wei Dong 005; Peter A. Bath; Lei Ji 005; Huilong Duan (Data Min. Knowl. Discov., 2015)

A probabilistic topic model for clinical risk stratification from electronic health records. - Zhengxing Huang; Wei Dong 005; Huilong Duan (J. Biomed. Informatics, 2015)

Predictive monitoring of clinical pathways. - Zhengxing Huang; Wei Dong 005; Lei Ji 005; Huilong Duan (Expert Syst. Appl., 2016)

Incorporating comorbidities into latent treatment pattern mining for clinical pathways. - Zhengxing Huang; Wei Dong 005; Lei Ji 005; Chunhua He; Huilong Duan (J. Biomed. Informatics, 2016)

On mining latent topics from healthcare chat logs. - Tingting Wang; Zhengxing Huang; Chenxi Gan (J. Biomed. Informatics, 2016)

Outcome Prediction in Clinical Treatment Processes. - Zhengxing Huang; Wei Dong 005; Lei Ji 005; Huilong Duan (J. Medical Syst., 2016)

Acute Coronary Syndrome Risk Prediction Based on GRACE Risk Score. - Danqing Hu; Zhengxing Huang; Tak-Ming Chan; Wei Dong 005; Xudong Lu; Huilong Duan (MedInfo, 2017)

MACE prediction of acute coronary syndrome via boosted resampling classification using electronic medical records. - Zhengxing Huang; Tak-Ming Chan; Wei Dong 005 (J. Biomed. Informatics, 2017)

Size Effect of Heat Transport in Microscale Gas Gap. - Zhengxing Huang; Jiaqi Wang; Suyuan Bai; Jingwei Guan; Fengtian Zhang; Zhenan Tang (IEEE Trans. Ind. Electron., 2017)

Relational regularized risk prediction of acute coronary syndrome using electronic health records. - Zhengxing Huang; Zhenxiao Ge; Wei Dong 005; Kunlun He; Huilong Duan; Peter A. Bath (Inf. Sci., 2018)

Using neural attention networks to detect adverse medical events from electronic health records. - Jiebin Chu; Wei Dong 005; Kunlun He; Huilong Duan; Zhengxing Huang (J. Biomed. Informatics, 2018)

Probabilistic modeling personalized treatment pathways using electronic health records. - Zhengxing Huang; Zhenxiao Ge; Wei Dong 005; Kunlun He; Huilong Duan (J. Biomed. Informatics, 2018)

A Regularized Deep Learning Approach for Clinical Risk Prediction of Acute Coronary Syndrome Using Electronic Health Records. - Zhengxing Huang; Wei Dong 005; Huilong Duan; Jiquan Liu (IEEE Trans. Biomed. Eng., 2018)

Treatment Effect Prediction with Generative Adversarial Networks Using Electronic Health Records. - Jiebin Chu; Wei Dong 005; Zhengxing Huang (SEPDA@ISWC, 2019)

Deep representation learning for individualized treatment effect estimation using electronic health records. - Peipei Chen; Wei Dong 005; Xudong Lu; Uzay Kaymak; Kunlun He; Zhengxing Huang (J. Biomed. Informatics, 2019)

Utilizing electronic health records to predict multi-type major adverse cardiovascular events after acute coronary syndrome. - Zhengxing Huang; Yi Lu; Wei Dong 005 (Knowl. Inf. Syst., 2019)

Utilizing dynamic treatment information for MACE prediction of acute coronary syndrome. - Huilong Duan; Zhoujian Sun; Wei Dong 005; Zhengxing Huang (BMC Medical Informatics Decis. Mak., 2019)

Evidential MACE prediction of acute coronary syndrome using electronic health records. - Danqing Hu; Wei Dong 005; Xudong Lu; Huilong Duan; Kunlun He; Zhengxing Huang (BMC Medical Informatics Decis. Mak., 2019)

Adversarial MACE Prediction After Acute Coronary Syndrome Using Electronic Health Records. - Zhengxing Huang; Wei Dong 005 (IEEE J. Biomed. Health Informatics, 2019)

Predicting postoperative non-small cell lung cancer prognosis via long short-term relational regularization. - Danqing Hu; Shaolei Li; Zhengxing Huang; Nan Wu; Xudong Lu (Artif. Intell. Medicine, 2020)

Interpretable Disease Prediction based on Reinforcement Path Reasoning over Knowledge Graphs. - Zhoujian Sun; Wei Dong 005; Jinlong Shi; Zhengxing Huang (CoRR, 2020)

Endpoint prediction of heart failure using electronic health records. - Jiebin Chu; Wei Dong 005; Zhengxing Huang (J. Biomed. Informatics, 2020)

Interpretable clinical prediction via attention-based neural network. - Peipei Chen; Wei Dong 005; Jinliang Wang; Xudong Lu; Uzay Kaymak; Zhengxing Huang (BMC Medical Informatics Decis. Mak., 2020)

Treatment effect prediction with adversarial deep learning using electronic health records. - Jiebin Chu; Wei Dong 005; Jinliang Wang; Kunlun He; Zhengxing Huang (BMC Medical Informatics Decis. Mak., 2020)

On Clinical Event Prediction in Patient Treatment Trajectory Using Longitudinal Electronic Health Records. - Huilong Duan; Zhoujian Sun; Wei Dong 005; Kunlun He; Zhengxing Huang (IEEE J. Biomed. Health Informatics, 2020)

Attention-Based Deep Recurrent Model for Survival Prediction. - Zhaohong Sun 003; Wei Dong 005; Jinlong Shi; Kunlun He; Zhengxing Huang (ACM Trans. Comput. Heal., 2021)

Knowledge-aware multi-center clinical dataset adaptation: Problem, method, and application. - Jiebin Chu; Jinbiao Chen; Xiaofang Chen; Wei Dong 005; Jinlong Shi; Zhengxing Huang (J. Biomed. Informatics, 2021)

On learning disentangled representations for individual treatment effect estimation. - Jiebin Chu; Zhoujian Sun; Wei Dong 005; Jinlong Shi; Zhengxing Huang (J. Biomed. Informatics, 2021)

Towards Predictive Analysis on Disease Progression: A Variational Hawkes Process Model. - Zhaohong Sun 003; Zhoujian Sun; Wei Dong 005; Jinlong Shi; Zhengxing Huang (IEEE J. Biomed. Health Informatics, 2021)

Connecting Patients with Pre-diagnosis: A Multiple Graph Regularized Method for Mental Disorder Diagnosis. - Tianqi Zhao; Ming Kong; Kun Kuang; Zhengxing Huang; Qiang Zhu; Fei Wu 001 (CICAI (2), 2022)

Disentangled Sequential Autoencoder with Local Consistency for Infectious Keratitis Diagnosis. - Yuxuan Si; Zhengqing Fang; Kun Kuang; Zhengxing Huang; Yu-Feng Yao; Fei Wu 001 (ICIP, 2022)

On Tracking Dialogue State by Inheriting Slot Values in Mentioned Slot Pools. - Zhoujian Sun; Zhengxing Huang; Nai Ding (IJCAI, 2022)

TranSQ: Transformer-Based Semantic Query for Medical Report Generation. - Ming Kong; Zhengxing Huang; Kun Kuang; Qiang Zhu; Fei Wu 001 (MICCAI (8), 2022)

GRASP: Navigating Retrosynthetic Planning with Goal-driven Policy. - Yemin Yu; Ying Wei 001; Kun Kuang; Zhengxing Huang; Huaxiu Yao; Fei Wu 001 (NeurIPS, 2022)

Attribute-aware interpretation learning for thyroid ultrasound diagnosis. - Ming Kong; Qing Guo; Shuowen Zhou; Mengze Li 001; Kun Kuang; Zhengxing Huang; Fei Wu 001; Xiaohong Chen; Qiang Zhu (Artif. Intell. Medicine, 2022)

Disentangled representation for sequential treatment effect estimation. - Jiebin Chu; Yaoyun Zhang; Fei Huang 002; Luo Si; Songfang Huang; Zhengxing Huang (Comput. Methods Programs Biomed., 2022)

CD-Surv: a contrastive-based model for dynamic survival analysis. - Caogen Hong; Jinbiao Chen; Fan Yi; Yuzhe Hao; Fanwen Meng; Zhanghuiya Dong; Hui Lin; Zhengxing Huang (Health Inf. Sci. Syst., 2022)

Deep-CSA: Deep Contrastive Learning for Dynamic Survival Analysis With Competing Risks. - Caogen Hong; Fan Yi; Zhengxing Huang (IEEE J. Biomed. Health Informatics, 2022)

A Unified Machine Reading Comprehension Framework for Cohort Selection. - Ying Xiong; Weihua Peng; Qingcai Chen; Zhengxing Huang; Buzhou Tang (IEEE J. Biomed. Health Informatics, 2022)

Learning Chemical Rules of Retrosynthesis with Pre-training. - Yinjie Jiang; Ying Wei 001; Fei Wu 001; Zhengxing Huang; Kun Kuang; Zhihua Wang 008 (AAAI, 2023)

Learning Representations from Medical Text for Effective Diagnoses and Knowledge Discovery. - Zhoujian Sun; Hanrui Shi; Zhengxing Huang; Nai Ding (EMBC, 2023)

Replicating Complex Dialogue Policy of Humans via Offline Imitation Learning with Supervised Regularization. - Zhoujian Sun; Chenyang Zhao; Zhengxing Huang; Nai Ding (CoRR, 2023)

Causal Interpretable Progression Trajectory Analysis of Chronic Disease. - Zhoujian Sun; Wenzhuo Zhang; Zhengxing Huang; Nai Ding (CoRR, 2023)

Adversarial reinforcement learning for dynamic treatment regimes. - Zhaohong Sun 003; Wei Dong 005; Haomin Li 001; Zhengxing Huang (J. Biomed. Informatics, 2023)

Editorial: Explainable artificial intelligence for critical healthcare applications. - Zhe He 001; Rui Zhang 028; Gayo Diallo; Zhengxing Huang; Benjamin S. Glicksberg (Frontiers Artif. Intell., 2023)

Knowledge-aware patient representation learning for multiple disease subtypes. - Menglin Lu; Yujie Zhang; Suixia Zhang; Hanrui Shi; Zhengxing Huang (J. Biomed. Informatics, 2023)

Personalization in mHealth: Innovative informatics methods to improve patient experience and health outcome. - Elske Ammenwerth; Szymon Wilk; Zhengxing Huang (J. Biomed. Informatics, 2023)

Counterfactual Trajectories Prediction for Features of Non-Communicable Disease. - Zhoujian Sun; Wenzhuo Zhang; Zhengxing Huang; Cheng Luo (BIBM, 2024)

Message from the Program Chairs; ICHI 2024. - Yanshan Wang; Yifan Peng; Mei Liu; Xinning Gui; Zhengxing Huang; Gregor Stiglic (ICHI, 2024)

Cross-Modality Cardiac Insight Transfer: A Contrastive Learning Approach to Enrich ECG with CMR Features. - Zhengyao Ding; Yujian Hu; Ziyu Li; Hongkun Zhang; Fei Wu 001; Yilang Xiang; Tian Li; Ziyi Liu; Xuesen Chu; Zhengxing Huang (MICCAI (3), 2024)

Physical-Priors-Guided Aortic Dissection Detection Using Non-Contrast-Enhanced CT Images. - Zhengyao Ding; Yujian Hu; Hongkun Zhang; Fei Wu 001; Shifeng Yang; Xiaolong Du; Yilang Xiang; Tian Li; Xuesen Chu; Zhengxing Huang (MICCAI (7), 2024)

Adapting Pre-trained Generative Model to Medical Image for Data Augmentation. - Zhouhang Yuan; Zhengqing Fang; Zhengxing Huang; Fei Wu 001; Yu-Feng Yao; Yingming Li (MICCAI (5), 2024)

Global-local aware Heterogeneous Graph Contrastive Learning for multifaceted association prediction in miRNA-gene-disease networks. - Yuxuan Si; Zihan Huang; Zhengqing Fang; Zhouhang Yuan; Zhengxing Huang; Yingming Li; Ying Wei 001; Fei Wu 001; Yu-Feng Yao (Briefings Bioinform., 2024)

Conversational Disease Diagnosis via External Planner-Controlled Large Language Models. - Zhoujian Sun; Cheng Luo; Zhengxing Huang (CoRR, 2024)

Rapid and Accurate Diagnosis of Acute Aortic Syndrome using Non-contrast CT: A Large-scale, Retrospective, Multi-center and AI-based Study. - Yujian Hu; Yilang Xiang; Yan-Jie Zhou; Yangyan He; Shifeng Yang; Xiaolong Du; Chunlan Den; Youyao Xu; Gaofeng Wang; Zhengyao Ding; Jingyong Huang; Wenjun Zhao; et al. (CoRR, 2024)

Large-scale cross-modality pretrained model enhances cardiovascular state estimation and cardiomyopathy detection from electrocardiograms: An AI system development and multi-center validation study. - Zhengyao Ding; Yujian Hu; Youyao Xu; Chengchen Zhao; Ziyu Li; Yiheng Mao; Haitao Li; Qian Li; Jing Wang; Yue Chen; Mengjia Chen; Longbo Wang; et al. (CoRR, 2024)

De-biased Multimodal Electrocardiogram Analysis. - Haitao Li; Ziyu Li; Yiheng Mao; Ziyi Liu; Zhoujian Sun; Zhengxing Huang (CoRR, 2024)

Interpretable Disease Progression Prediction Based on Reinforcement Reasoning Over a Knowledge Graph. - Zhoujian Sun; Wei Dong 005; Jinlong Shi; Zhengxing Huang (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Simulating doctors' thinking logic for chest X-ray report generation via Transformer-based Semantic Query learning. - Danyang Gao; Ming Kong; Yongrui Zhao; Jing Huang; Zhengxing Huang; Kun Kuang; Fei Wu 001; Qiang Zhu (Medical Image Anal., 2024)

KCGAFormer: When Large-Kernel ConvFormer Meets KAN in Semantic Segmentation. - Shihao Wang; Zhengxing Huang; Enguang Zuo; Alimjan Aysa; Kurban Ubul (ICASSP, 2025)

GDReCo: Fine-grained gene-disease relationship extraction corpus. - Hui Yu; Jing Wu; Suyan Bian; Sheng Zhang; Yibin Wu; Ziyan Zhou; Qian Jia; Yuan Ni; Zhengxing Huang; Huiyu Yan; Weidong Wang; Kunlun He; et al. (Comput. Methods Programs Biomed., 2025)

HyperSegmenter: Reappraising the potential of large kernel CNN architecture in efficient semantic segmentation. - Shihao Wang; Zhengxing Huang; Xirali Ablat; Alimjan Aysa; Kurban Ubul (Expert Syst. Appl., 2025)

Phenotypic screening and genetic insights for predicting major vascular-related diseases using retinal imaging. - Menglin Lu; Yiheng Mao; Hui Zhu; Yesheng Xu; Yu-Feng Yao; Fei Wu 001; Zhengxing Huang (npj Digit. Medicine, 2025)

Improving Interactive Diagnostic Ability of a Large Language Model Agent Through Clinical Experience Learning. - Zhoujian Sun; Ziyi Liu; Cheng Luo; Jiebin Chu; Zhengxing Huang (CoRR, 2025)

Phenotype-Guided Generative Model for High-Fidelity Cardiac MRI Synthesis: Advancing Pretraining and Clinical Applications. - Ziyu Li; Yujian Hu; Zhengyao Ding; Yiheng Mao; Haitao Li; Fan Yi; Hongkun Zhang; Zhengxing Huang (CoRR, 2025)

DC-Seg: Disentangled Contrastive Learning for Brain Tumor Segmentation with Missing Modalities. - Haitao Li; Ziyu Li; Yiheng Mao; Zhengyao Ding; Zhengxing Huang (CoRR, 2025)

Fine-Grained ECG-Text Contrastive Learning via Waveform Understanding Enhancement. - Haitao Li; Che Liu; Zhengyao Ding; Ziyi Liu; Zhengxing Huang (CoRR, 2025)

anyECG-chat: A Generalist ECG-MLLM for Flexible ECG Input and Multi-Task Understanding. - Haitao Li; Ziyu Li; Yiheng Mao; Ziyi Liu; Zhoujian Sun; Zhengxing Huang (CoRR, 2025)

Lessons Learned from Evaluation of LLM based Multi-agents in Safer Therapy Recommendation. - Yicong Wu; Ting Chen; Irit Hochberg; Zhoujian Sun; Ruth Edry; Zhengxing Huang; Mor Peleg (CoRR, 2025)